Rafael Yuste

Cellular and Molecular Neuroscience · 1994–2019

A researcher in the Science corpus: 20 papers; trusts 77 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

Whom Rafael Yuste trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Xiao-Jing Wang
  2. György Buzsáki
  3. David Sussillo
  4. Wolfgang Maass
  5. John J. Hopfield
  6. Stefan Klampfl
  7. Surya Ganguli
  8. Henry Markram
  9. Misha B. Ahrens
  10. Valerio Mante

Who trusts Rafael Yuste overall

  1. Guoqing Zhang
  2. Laura N. Driscoll
  3. Yu Takagi
  4. John W. Krakauer
  5. Jeffrey S. Bowers
  6. Jennifer N. Bourne
  7. Gregory M. Palmer
  8. Asif A. Ghazanfar
  9. Laurence T. Hunt
  10. Noah L. Pettit

Papers from Rafael Yuste's perspective

Ordered by how strongly the researchers Rafael Yuste trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  7. A Fast Learning Algorithm for Deep Belief Nets
  8. Neural networks and physical systems with emergent collective computational abilities.
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers